کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
30433 44478 2014 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fluorescence spectroscopic characterization of salivary metabolites of oral cancer patients
ترجمه فارسی عنوان
مشخصات طیف سنجی فلورسانس متابولیت های بزاق بیماران مبتلا به سرطان دهان
کلمات کلیدی
فلوئورسانس بزاق، سرطان دهان، نشانگرهای متابولومیک، فلوئوروفورهای ذاتی، سینتیک حالت تحریک شده
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
چکیده انگلیسی


• Saliva has been considered as it has many diagnostically potential metabolites.
• The fluorescence spectroscopic studies confirm the presence of excess porphyrin in the saliva of oral cancer patients.
• The presence of porphyrin may be attributed to alteration on heme biosynthetic and/or amino acid degradation pathway(s).
• Discrimination of oral cancer patients from normal using fluorescence spectroscopy of saliva with statistical significancy.

A pilot study has been carried out using human saliva in differentiating the normal subjects from that of oral squamous cell carcinoma (OSCC) patients, using the autofluorescence spectroscopy at 405 nm excitation. A markable difference in the spectral signatures between the saliva of normal subjects and that of oral cancer patients has been noticed. The possible reasons for the altered spectral signature may be due to the presence of endogenous porphyrin, NAD(P)H and FAD in the exfoliated cells from saliva. The elevated level of porphyrin in saliva of OSCC patients may be attributed to the disturbances in the amino acid degradation pathway and heme biosynthetic pathway, during the transformation of normal into malignant cells. The integrated area under the curve of fluorescence emission spectrum at 405 nm excitation and also fluorescence excitation spectrum for 625 nm emission were compared for the saliva of normal and oral cancer patients. The area under the curve for the emission spectrum provides 85.7% sensitivity and 93.3% specificity, where as the fluorescence excitation spectrum discriminates the same with 84.1% sensitivity and 93.2% specificity.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Photochemistry and Photobiology B: Biology - Volume 130, 5 January 2014, Pages 153–160
نویسندگان
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